Doctorant : Loïc Pérennou, Cnam/Outscale Date et lieu: 23 octobre à 14h en salle 17.2.20, 2 rue Conté, 75003 Paris. Titre: Design de l’expérience des machines virtuelles: Allocation de ressources prédictive pour les infrastructures cloud. Composition du jury : Daniel Hagimont
Recent publications
- Intent-Based Qualification of Industry 4.0 Components
- Function Placement for In-network Federated Learning
- Data Pipeline System Designs for In-network Learning
- The complexity of the perfect matching‐cut problem
- Experiences with disaggregated RAN integrations
- Comprehensive Survey on Vehicular Communication Security
- A Fuzzy-Based Greedy Behaviour Attack Detection Approach in VANETs
- Towards the Intent-based Configuration of I4.0 Components
- Reinforcement Learning to Personalize User eXperience within Digital Business Ecosystems
- Vers l’automatisation de la détection d’anomalies réseaux
- DiNATrAX : a Network Anomalies Detection Framework
- Deep Reinforcement Learning for Joint Energy Saving and Traffic Handling in xG RAN
- Ecosystème d'Affaires Numériques : Modele organisationnel, roles et gouvernance pour la flexibilité
- Improving NDN Resilience: A Novel Mitigation Mechanism Against Cache Pollution Attack
